Security Scan Report: liu.se

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Submitted: Jan 15, 2026, 7:46:55 PMCompleted: Jan 15, 2026, 7:48:23 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is liu.se and was registered NaN years ago.

Submitted URL: https://liu.se/

The Cisco Umbrella rank of the primary domain is #120,706 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Established domain with long registration history
Official university domain (liu.se)
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Linköpings universitet - Linköpings universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

healthcare medical

(38%)

Domain Information

The domain name 'liu.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Count 3 characters in 'liu' containing 2 vowels alongside 1 consonant. Word splitting yields one word: liu. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://liu.se/

Page Load Overview

2.36s
Total Load Time
49
HTTP Requests
3
Domains
832 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv-SE
Text Length:6,165 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
38%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17130.236.18.52Linköping, Östergötland County, Sweden
AS2843Linkopings universitet
16178.174.209.211Bromma, Stockholm County, Sweden
AS8473Bahnhof AB
16130.236.18.54Linköping, Östergötland County, Sweden
AS2843Linkopings universitet
493--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13773817290F128370257A1E9AB742F0AAF86C307C99A6644B5FE03996FC7DA5CD1730D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RMswmJTKdqDWNFZ1rV7Np0Go8TeZ6TBqwLtmRl/cANufkjdCCB82aqOe82LMlbhU:R9FJTKdqDWNNrV7Np0Go8TeZ6TBqwLtM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77582:ZkNwBgy4Wshq6hwESRWYZCNKhEkARVgK+MXGQLVEEICYAR2AAoAxhWKJCAkwGKazNkARUQTEaEiWwgQQdDWAtdUYCBJCMMl2

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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